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This report looks at the walking habits of 21 people. The data came from a Google Form. It asked about how long they walk, how many steps they take each day, if they use any device to track their steps, and what reasons they have for walking. I made three charts. Each one shows a different part of walking behaviour.
Step count levels across different device usage types.
The first chart compares different types of step-tracking. People who wear devices usually walk more — often over 7,000 steps a day. Those who don’t use devices mostly walk less. This suggests that people who care about walking often track their steps.
knitr::include_graphics("plot2.png")
The second chart looks at why people
walk. Most said they walk for health or to relax. Others walk for daily
tasks or social reasons. Only a few said they don’t like walking. This
shows that walking is mainly linked to personal well-being.
knitr::include_graphics("plot3.png")
The third chart shows how long people
walk based on what kind of tracking they use. People who use apps or
devices are more likely to walk for longer. This matches the first chart
and supports the idea that step tracking is part of a walking routine
for active people.
I looked at walking in three ways: how much people walk, why they walk, and whether they use devices. Each chart builds on the last. First, we see what they do. Then, we look at why. Finally, we see how tools fit in. I focused on rows 23 to 43 to keep the data clean and easy to work with.
I cleaned the data using dplyr. I used separate_rows() to deal with answers that had more than one choice. I made the charts using ggplot2 and picked custom colours to make them clearer. I saved each chart with ggsave() and used R Markdown to bring them all together.
People who walk more often tend to use step-tracking apps or devices. They also show stronger personal reasons, like health or relaxation. This suggests that both motivation and technology play a role in supporting regular walking habits.